Sr. Data Scientist

Curl Analytics

Bengaluru

On-site

INR 3,000,000 - 5,500,000

Full time

14 days+

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Job summary

Curl Analytics in Bengaluru seeks a Senior Data Scientist with a solid foundation in deep learning and NLP to deliver high-impact AI products from conception to deployment.

You will develop NLP models for entity extraction, fine-tune LLMs, work on Retrieval-Augmented Generation, ensure efficient serving and optimization, and mentor team members in a fast-paced environment.

Qualifications

  • Bachelor's or master's degree in computer science, data science, or related field.
  • 8+ years of experience with a strong portfolio in deep learning and traditional machine learning.
  • Proficiency in Python and extensive experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Track record of developing and deploying impactful AI models, with expertise in Document AI.
  • Exceptional problem-solving skills and the ability to work with complex data sets to drive actionable insights.

Responsibilities

  • Develop NLP models and algorithms for entity extraction and document processing.
  • Fine-tune and optimize LLMs.
  • Work on Retrieval-Augmented Generation to improve model responses and data retrieval processes.
  • Ensure efficient serving, maintenance, and optimization of models.
  • Provide mentorship and technical guidance to team members.

Skills

Python
NLP
Deep Learning
LLMs
Document AI
Model Deployment

Education

Bachelor's or Master's in CS/Data Science

Tools

PyTorch
TensorFlow

Job description

Looking for a Senior Data Scientist with a solid foundation in deep learning and traditional machine learning to deliver high-impact solutions that align with our AI product strategy. This position is perfect for someone who thrives in a fast-paced, innovative environment and is focused on executing sophisticated AI/ML projects from conception to deployment.

Responsibilities:
  • Develop NLP models and algorithms for entity extraction and document processing.
  • Fine-tune and optimize LLMs.
  • Work on Retrieval-Augmented Generation to improve model responses and data retrieval processes.
  • Ensure efficient serving, maintenance, and optimization of models.
  • Provide mentorship and technical guidance to team members.
Requirements:
  • Bachelor's or master's degree in computer science, data science, or related fields.
  • 8+ years of experience with a strong portfolio in deep learning and traditional machine learning,
  • Proficiency in Python and extensive experience with deep learning frameworks (e. g., PyTorch, TensorFlow).
  • Track record of developing and deploying impactful AI models, with specific expertise in Document AI.
  • Exceptional problem-solving skills and the ability to work with complex data sets to drive actionable insights
Must-Have Skills:
  • Strong understanding of data science fundamentals and best practices.
  • Proven experience in NLP and transformers.
  • Hands-on experience with LLMs and their fine-tuning.
  • Expertise in model serving and optimization.
  • Proficiency in Python and extensive experience with deep learning frameworks (e. g., PyTorch, TensorFlow).
Good-to-Have Skills:
  • Experience with cloud services (AWS, Google Cloud, Azure).
  • Familiarity with ML platforms for LLMs.
  • Knowledge of MLOps practices.
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